摘要
以检测检验行业为例,以数据资源全生命周期理论为支撑,通过描述各个阶段的工作内容,分析了各个阶段的安全风险和技术挑战,提出了检测检验行业大数据安全技术防护体系,指出应采取数据库防火墙、堡垒主机、资源隔离、数据加密、备份与恢复、数据脱敏、数据分析安全、数据库审计和态势感知等先进的技术来加强安全防护,防止数据失泄密、被泄露等安全事件发生。并给出了落实大数据的采集安全、存储安全、传输安全、共享安全和销毁安全等各个阶段的具体安全措施和手段。
Taking the testing and inspection industry as an example and the whole life cyle theory of data resources as the support,by describing the work content of each stage,the security risks and technical challenges at each stage are analyzed,and a big data security technology protection system for the testing and inspection industry is proposed.It is pointed out that advanced technologies such as database fire ware,fortress host,resource isolation,data encryption,backup and recovery,data desensitization,data analysis security,database audit,situation awareness and other advanced technologies should be adopted to strengthen security protection and prevent data leakage and other security incidents.And the specific security measures and methods to achieve big data collection security,storage security,transmission security,sharing security and destruction security are provided.
作者
薛保民
XUE Baomin(CEPREI,Guangzhou 510610,China)
出处
《电子产品可靠性与环境试验》
2020年第4期48-52,共5页
Electronic Product Reliability and Environmental Testing
关键词
检测检验行业
大数据安全风险
大数据安全技术防护体系
防护措施
testing and inspection industry
big data security risk
big data security technology protection system
protective measure
